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SIX Software Engineers ( Java, Spring, Spring boot, Apache NiFi, Maven, Hadoop, MongoDB, MS Access, Accumulo) in Baltimore, MD. Email DBA Web SIX Software Engineers ( Java, Spring, Spring boot, Apache NiFi, Maven, Hadoop, MongoDB, MS Access, Accumulo) in Baltimore, MD Accumulo, Apache Nifi, Hadoop, Java, Maven, MS Access, Spring Boot, Spring Frameworks Location: Maryland Job Function: Software Development Date Of Job Posting: 03-09-2020.
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Python, Apache Airflow, Apache Spark, PostgreSQL, Presto SQL, Snowflake SQL, Confluence, JIRA. Python, Apache Airflow, Apache Spark, PostgreSQL, Presto SQL, Snowflake SQL, Confluence, JIRA.
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Utilize programming languages such as Java, Python, SQL, Node, Go, and Scala, Open Source RDBMS and NoSQL databases, Container Orchestration services including Docker and Kubernetes, and a variety of AWS tools and services.
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Experience with relational databases and building modern data pipelines Hands-on experience working with cloud technologies (OCI, AWS, Azure, GCP) Familiarity with Big Data components like Apache Spark, Apache Hudi, etc.
$96,800 - $251,600ExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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QUALIFICATIONS:Advanced MS SQL Server knowledge (MS SQL Server 2016+ preferred)Development expertise with MS SQL Server Integration Services (SSIS), dbt and Apache AirflowProficient with cloud DW and ETL/ELT solutions (e.g., Snowflake, BigQuery, Talend, Matillion, etc.
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Experience working with data orchestration tool Apache Airflow. Our category-defining enterprise platform enables organizations to operationalize trust across privacy, security, data governance, GRC, third-party risk, ethics, and compliance, and ESG.The ChallengeSenior Principal Data Engineer will be part of an innovative data team that enables Finance, Marketing, Product, Sales and to explore data and take actions that differentiate us from our competition.
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SedonaDB and Apache Spark are built in Java and Scala, with deeply optimized Python wrappers and SDKs, and are deployed on cloud-based Kubernetes environments. Make open-source contributions to Apache Sedona, Apache Spark, and other open-source software packages where necessary.
Full-timeExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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Strong proficiency in Java Stack programming with expertise in the Spring Boot framework, Apache / Tomcat, Apache Maven, Apache Spark, API Concepts and Methodologies, API Security, Camunda, Cloud Automation, Cloud Computing, Cybersecurity, Data Engineering, Database Design (Physical), DevOps, Java and Related Technology, JavaScript, Linux.
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AWS Knowledge: Hands-on experience with various AWS services, including EKS, Amazon Aurora PostgreSQL, DynamoDB, S3, IAM, Route 53, ELB, SNS, SQS, and Managed Streaming for Apache Kafka (MSK). AWS Knowledge: Hands-on experience with various AWS services, including EKS, Amazon Aurora PostgreSQL, DynamoDB, S3, IAM, Route 53, ELB, SNS, SQS, and Managed Streaming for Apache Kafka (MSK.
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Join us for the unique opportunity to provide direct support to Mesa's Metallics and Composites Machining center which produces precision parts for the AH-64 Apache helicopter and other military and commercial aircraft.
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Experience with Apache Airflow and Apache Spark; Spark performance turning. Experience with Apache Airflow and Apache Spark; Spark performance turning. Experience with Healthcare data, e.g., clinical trial data, electronic medical records, and insurance claims; or Biosciences data, e.g., protein or small molecule data, or bioinformatics; or Biopharmaceutical manufacturing.
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2+ years of hands-on development experience with event based streaming technologies (Apache Kafka / Azure Event Hub or similar) Experience implementing and maintaining data platform core services (data lake, data integration, data warehouse) and configuring and integrating infrastructure and PAAS (e.g., Azure Data factory, Informatica cloud services, Databricks, Data gateway and Qlik Sense, Power BI.
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Knowledge of cloud & computing technologies such as: Hadoop, Apache Spark, AWS, Microsoft Azure or Google cloud. Understanding of data models, large datasets, business/technical requirements, BI tools, statistical programming languages and librariesDemonstrates functional knowledge of data visualization libraries such as matplotlib or ggplot2; knowledge of other visualization tools such as Microsoft Power BI , Quick Sight or Tableau.
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This architecture includes an Databricks, Microsoft Azure platform tools (including Data Lake, Synapse), Apache platform tools (including Hadoop, Hive, Impala, Spark, Sedona, Airflow) and data pipeline/ETL development tools (including Streamsets, Apache NiFi, Azure Data Factory.
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This role will provide expertise to support the development of a Big Data / Data Lake system architecture that supports enterprise data operations for the District of Columbia government, including the Internet of Things (IoT) / Smart City projects, enterprise data warehouse, the open data portal, and data science applications.
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